code: def _check_cuda_compatibility(throw: bool = True):
      toolkit_version = cuda.runtime.get_version()
      driver_version = cuda.driver.driver.get_version()
  
      if toolkit_version > driver_version:
          if throw:
              raise RuntimeError(
                  f"Environment is not compatible with Numba GPU operator. "
                  f"Driver version is {driver_version} and CUDA Toolkit "
                  f"version is {toolkit_version}. "
                  "Driver cannot be older than the CUDA Toolkit"
              )
          else:
              return False
      return True
  
imports: from distutils.version import LooseVersion
  from nvidia.dali import backend
  from nvidia.dali.pipeline import Pipeline
  from nvidia.dali.data_node import DataNode
  from nvidia.dali import ops
  from nvidia.dali import types
  from numba import types
  from numba import njit, cfunc, carray, cuda
  import numpy
  import numba
label_desc: Use image node_id 16 for calling the NumbaFunction obj's underlying member method code with example usage: obj._check_cuda_compatibility(throw) and returns: True, False